Jeff Hammerbacher hammer
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| # relation-data | |
| ddr: | |
| evidence-count: 3 | |
| score-threshold: 0.1 | |
| # association-data | |
| scoring_weights: | |
| crisp: 1 | |
| europepmc: 0.2 | |
| expression_atlas: 0.2 |
hammer
/ platform-input-support-config.yaml
Last active
July 8, 2019 20:28
Configuration organized by ES index; note that this will not parse correctly! It's for purely pedagogical purposes.
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| # [invalid-]evidence-data | |
| evidences: | |
| gs_output_dir: evidence-files | |
| downloads: | |
| - bucket: otar000-evidence_input/CRISPR/json | |
| output_filename: crispr-{suffix}.json.gz | |
| resource: input-file | |
| subset_key: | |
| - target | |
| - id |
hammer
/ server_side_datatable.py
Created
January 21, 2014 15:58
Implementation of a server-side DataTable (cf. http://datatables.net/release-datatables/examples/data_sources/server_side.html) using Flask, Flask-RESTful, and Psycopg. You should only have to edit source_database, source_table, and source_columns to make it work. Of course you'll probably want to edit the resource name and URL as well.
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| from string import Template | |
| from distutils.util import strtobool | |
| from flask import Flask, request | |
| from flask.ext.restful import Api, Resource | |
| import psycopg2 | |
| # Flask-RESTful Api object | |
| app = Flask(__name__) |
hammer
/ HelloAvro.scala
Last active
October 17, 2022 04:16
Concise example of how to write an Avro record out as JSON in Scala
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| import java.io.{IOException, File, ByteArrayOutputStream} | |
| import org.apache.avro.file.{DataFileReader, DataFileWriter} | |
| import org.apache.avro.generic.{GenericDatumReader, GenericDatumWriter, GenericRecord, GenericRecordBuilder} | |
| import org.apache.avro.io.EncoderFactory | |
| import org.apache.avro.SchemaBuilder | |
| import org.apache.hadoop.fs.Path | |
| import parquet.avro.{AvroParquetReader, AvroParquetWriter} | |
| import scala.util.control.Breaks.break | |
| object HelloAvro { |
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